"""simple docstring"""


from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters





def      lowerCamelCase_					(   )				->   Any:




						'''simple docstring'''



						lowerCamelCase__   ={
						    "repo_name": ["test_repo1", "test_repo2", "test_repo3"],
						    "path": ["test_1.py", "test_2.py", "unit_test.py"],
						    "content": ["a " * 20, "a " * 30, "b " * 7],
						}
						lowerCamelCase__   =Dataset.from_dict(__lowerCAmelCase							)
						return dataset






class   __UpperCAmelCase		(      __lowerCAmelCase      ):

				def 						_a      ( self ):
										lowerCamelCase__   =get_dataset()
										lowerCamelCase__   =make_duplicate_clusters(_lowerCamelCase      ,					0.8_5 )
										self.assertEqual(len(duplicate_clusters[0] )      ,					2 )






				def 						_a      ( self ):
										lowerCamelCase__   =get_dataset()
										lowerCamelCase__   , lowerCamelCase__   =deduplicate_dataset(_lowerCamelCase )
										self.assertEqual(len(_lowerCamelCase )      ,					2 )
										print(_lowerCamelCase )
										self.assertEqual(duplicate_clusters[0][0]["copies"]      ,					2 )
										self.assertEqual(duplicate_clusters[0][0]["is_extreme"]      ,					_lowerCamelCase )



"""simple docstring"""


import random





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase = False							)				->   dict:




						'''simple docstring'''



						lowerCamelCase__   ={i: [] for i in range(__lowerCAmelCase							)}

						# if probability is greater or equal than 1, then generate a complete graph
						if probability >= 1:
												return complete_graph(__lowerCAmelCase							)
						# if probability is lower or equal than 0, then return a graph without edges
						if probability <= 0:
												return graph

						# for each couple of nodes, add an edge from u to v
						# if the number randomly generated is greater than probability probability
						for i in range(__lowerCAmelCase							):
												for j in range(i + 1  ,       __lowerCAmelCase							):
																		if random.random() < probability:
																								graph[i].append(__lowerCAmelCase							)
																								if not directed:
																														# if the graph is undirected, add an edge in from j to i, either
																														graph[j].append(__lowerCAmelCase							)
						return graph





def      lowerCamelCase_					(   __lowerCAmelCase							)				->   dict:




						'''simple docstring'''



						return {
						    i: [j for j in range(__lowerCAmelCase							) if i != j] for i in range(__lowerCAmelCase							)
						}


if __name__ == "__main__":
	import doctest

	doctest.testmod()


